Jiayan Ma
Impact in
- Health Informatics top 10%
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Epigenetics and DNA Methylation 2
- Single-cell and spatial transcriptomics 1
- Gut microbiota and health 1
-
- Cancer Genomics and Diagnostics 1
- Co-authors
- Karthik Ramani (1 shared paper)Tahira Reid (1 shared paper)Joran Booth (1 shared paper)Weg M. Ongkeko (4 shared papers)Wei Tse Li (4 shared papers)Mahadevan Rajasekaran (3 shared papers)Eric Y. Chang (3 shared papers)Aditi Gnanasekar (3 shared papers)
- Journals
- Computational and Structural Biotechnology Journal (2 papers)Gene (1 paper)Cell Discovery (1 paper)Frontiers in Endocrinology (1 paper)Clinical & Translational Oncology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jiayan Ma
11 papers receiving 536 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 17
- Automotive Engineering 97
- Industrial and Manufacturing Engineering 76
- Health Information Management 27
- Cancer Research 62
Countries citing papers authored by Jiayan Ma
This map shows the geographic impact of Jiayan Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiayan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayan Ma more than expected).
Fields of papers citing papers by Jiayan Ma
This network shows the impact of papers produced by Jiayan Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiayan Ma. The network helps show where Jiayan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiayan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2017 | 115 | |
| 3 | 2021 | 92 | |
| 4 | 2020 | 82 | |
| 5 | 2022 | 61 | |
| 6 | 2018 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 3 | |
| 11 | 2025 | 1 |
About Jiayan Ma
Jiayan Ma is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Automotive Engineering and Epidemiology, having authored 11 papers that have together received 543 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Interactive and Immersive Displays (1 paper), Cancer Genomics and Diagnostics (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Design Education and Practice (1 paper), Single-cell and spatial transcriptomics (1 paper), Gut microbiota and health (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Health Informatics (17 citations), Automotive Engineering (97 citations), Industrial and Manufacturing Engineering (76 citations), Health Information Management (27 citations) and Cancer Research (62 citations). Jiayan Ma has collaborated with scholars based in United States and China. Frequent co-authors include Karthik Ramani, Tahira Reid, Joran Booth, Weg M. Ongkeko, Wei Tse Li, Mahadevan Rajasekaran, Eric Y. Chang, Aditi Gnanasekar, Min Tang and Qi Xie. Their work appears in journals such as Computational and Structural Biotechnology Journal, Gene, Cell Discovery, Frontiers in Endocrinology and Clinical & Translational Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.